Automatic classification of the telephone listening environment in a hearing aid
2002 (English)In: Trita-TMH / Royal Institute of Technology, Speech, Music and Hearing, ISSN 1104-5787, Vol. 43, no 1, 45-49 p.Article in journal (Refereed) Published
An algorithm is developed for automatic classification of the telephone-listening environment in a hearing instrument. The system would enable the hearing aid to automatically change its behavior when it is used for a telephone conversation (e.g., decrease the amplification in the hearing aid, or adapt the feedback suppression algorithm for reflections from the telephone handset). Two listening environments are included in the classifier. The first is a telephone conversation in quiet or in traffic noise and the second is a face-to-face conversation in quiet or in traffic. Each listening environment is modeled with two or three discrete Hidden Markov Models. The probabilities for the different listening environments are calculated with the forward algorithm for each frame of the input sound, and are compared with each other in order to detect the telephone-listening environment. The results indicate that the classifier can distinguish between the two listening environments used in the test material: telephone conversation and face-to-face conversation.
Place, publisher, year, edition, pages
Stockholm: Institutionen för tal, musik och hörsel, Tekniska högskolan i Stockholm , 2002. Vol. 43, no 1, 45-49 p.
Computer and Information Science
IdentifiersURN: urn:nbn:se:kth:diva-13334OAI: oai:DiVA.org:kth-13334DiVA: diva2:323737
QC 201006112010-06-112010-06-112010-06-14Bibliographically approved